LLM Comparison

GPT-6 Astra vs Gemini 4 Argon: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Gemini 4 Argon comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: GPT-6 Astra ranks higher (#7 vs #24) and wins 2 of 3 shared benchmarks; Gemini 4 Argon costs less ($2.00/$10.0 vs $10.0/$50.0 per 1M tokens).

Rank #7 vs #24AskClash overall scores 72.2 vs 60.7.
Pricing $10.0/$50.0 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Google.

GPT-6 Astra vs Gemini 4 Argon benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGPT-6 AstraGemini 4 Argon
Overall Score72.260.7
Leaderboard Rank#7#24
ACB64.5—
RWT9.5—
Coding Agent Index67.0—
HLE57.257.1
GPQA96.0—
SWE-Atlas61.8—
Terminal-Bench88.4—
DeepSWE73.2—
GDPval-AA1629.31611.3
Finance Agent53.565.4
MMMU-Pro87.0—
ARC-AGI 295.0—
MRCR100.0—
Input Price (per 1M tokens)$10.0$2.00
Output Price (per 1M tokens)$50.0$10.0
Context Window1.05M—
Benchmarks Published146

GPT-6 Astra vs Gemini 4 Argon head-to-head charts

GPT-6 Astra leads 3 and Gemini 4 Argon leads 1 of 4 shared benchmarks. Gemini 4 Argon is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraGemini 4 Argon
Overall
72.2GPT-6 Astra
60.7Gemini 4 Argon
HLE
57.2GPT-6 Astra
57.1Gemini 4 Argon
GDPval-AA
1629.3GPT-6 Astra
1611.3Gemini 4 Argon
Finance Agent
53.5GPT-6 Astra
65.4Gemini 4 Argon
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
Gemini 4 Argon
Input$2.00
Output$10.0
Workload$4.00
Context—

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-6 Astra and Gemini 4 Argon comparisons

Explore how GPT-6 Astra and Gemini 4 Argon stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.